Red Hat OpenShift Data Science vs. Amazon SageMaker
A side-by-side comparison based on G2 review data.
| Metric | Red Hat OpenShift Data Science | Amazon SageMaker |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 42 | 57 |
| Ease of use | 8.6 | 8.6 |
| Ease of setup | 8.0 | 8.6 |
| Quality of support | 8.9 | 8.9 |
| Meets requirements | 8.9 | 8.9 |
| NPS | 80.487805 | 46.296296 |
| Small Business | 21.4% | 30.9% |
| Mid-Market | 38.1% | 34.5% |
| Enterprise | 40.5% | 34.5% |
| Total page views | 211 | 401 |
| Total LLM citations | 147 | 1,606 |
Red Hat OpenShift Data Science
Red Hat® OpenShift® AI is a flexible, scalable artificial intelligence (AI) and machine learning (ML) platform that enables enterprises to create and deliver AI-enabled applications at scale across hybrid cloud environments. Built using open source technologies, OpenShift AI provides trusted, operationally consistent capabilities for teams to experiment, serve models, and deliver innovative apps.
Amazon SageMaker
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment.
- Ease of Use
- Implementation Ease
- Model Management
- Time-Saving
- Features
- Fast Processing